Measuring the Socio-Economic Bipolarization Phenomenon

Stefan Stefananescu ()
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Stefan Stefananescu: Associate Professor, Ph.D., Faculty of Mathematics and Informatics, University of Bucharest
Authors registered in the RePEc Author Service: Stefan Stefanescu

Journal for Economic Forecasting, 2008, vol. 5, issue 1, 149-161

Abstract: The present paper emphasizes the differences between the Gini concentration coefficient [13] and a new bipolarization index proposed by [20], [21]. In practice, the Gini index is applied frequently to determine the poverty degree of the persons of a given population P. Although the pauperization and the polarization social phenomena are often very strong related, we shall prove that the bipolarization level of the individuals of P cannot be always accurately estimated by applying the classical Gini measure. Therefore, for evaluating the intensity of a polarization event is not adequate to use the Gini-type coefficients based on the Lorenz order.

Keywords: Gini coefficient; bipolarization index; Lorenz order; antithetic variables; bounded exponential distributions. (search for similar items in EconPapers)
JEL-codes: C43 C46 C51 C52 (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v:5:y:2008:i:1:p:149-161

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